Building scalable systems, data pipelines, and AI-driven solutions
class SoftwareEngineer: def __init__(self): self.name = "Muhammad Safdar" self.role = "Software Engineer" self.experience = "4+ years" self.location = "Pakistan" self.current_focus = ["RAG Systems", "LLM Integration", "Cloud Architecture"] def current_work(self): return { "company": "Conovo Technologies Inc. (Remote, UK)", "position": "Software Engineer", "projects": ["RAG Systems", "Web Scraping Infrastructure", "Fraud Detection"] } def specialties(self): return ["Cloud-Native Backends", "Data Pipelines", "AI-Driven Systems"]
- π Currently building a Quranic Search Engine with ontology-based retrieval + LLMs
- π± Developing scalable RAG systems and microservices on AWS
- πΌ Software Engineer at Conovo Technologies Inc. (Remote, UK)
- π€ Passionate about AI/ML integration and prompt engineering
- π Experienced in building fraud-detection platforms handling 100K+ records daily
- π― Open to collaborating on Python projects and AI-driven solutions
Python FastAPI Django Flask REST API SQLAlchemy
LangChain OpenAI RAG Apache Airflow Scrapy
AWS Docker GitHub Actions Linux
- π Led RAG system development achieving 65% latency reduction
- π§ Architected web scraping infrastructure with 370+ active scrapers
- π₯ Led team of 3 engineers building fraud-detection platform
- π Boosted customer engagement by 20% through strategic integrations
- π° Secured 5γγ«M+ annual transactions with payment system integration
- β‘ Cut infrastructure costs by 11% through performance optimization
- π Python - Google
- βοΈ Azure AI Fundamentals - Microsoft
- π DevOps Foundation - LinkedIn
- π CD with YAML Pipeline - LinkedIn
β From mosafdarr